E.Coli Search: Self Replicating Agents for Web Based Information Retrieval
作者： Derrick Takeshi Mirikitani , Ibrahim Kushchu
DOI: 10.1007/978-3-540-45080-1_84
关键词: Search analytics 、 Information retrieval 、 Search engine technology 、 Search engine indexing 、 Human–computer information retrieval 、 World Wide Web 、 Concept search 、 Semantic search 、 Query expansion 、 Computer science 、 Web search query
摘要: Although search engines are often used for information retrieval (IR) from the World Wide Web (WWW), current engine technology seems obsolete. The quality of query results today’s is unacceptable, creating a demand new and techniques. conventional IR methods lack flexibility to adapt changes in content WWW. This paper presents an overview developments evolutionary adaptive proposes system (E.Coli search) where population intelligent agents forage web relevant documents.
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